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Sam
Dec 09, 2025
3 min read
The global shift toward instant payments is accelerating faster than anyone predicted. Over 80 markets already operate real-time payment systems, processing nearly 266 billion transactions in 2023 a 42% year-over-year increase. Analysts expect volumes to reach 575 billion by 2028, underscoring that “instant” is rapidly becoming the norm. Even cross-border transfers are catching up; 90% of SWIFT payments now credit beneficiaries within an hour. In the U.S., FedNow counts 1,500 participating institutions, covering roughly 40% of demand-deposit accounts, with transaction volumes growing 63% quarter-over-quarter.
This always-on landscape offers tremendous opportunity but also invites new vulnerabilities. Fraudulent activity in financial services surged 21% between 2024 and 2025. One in twenty verification attempts is fraudulent, and sectors such as cryptocurrency and real-time payments see fraud rates almost double the global average. Traditional banks are not immune they report 3.5× more document-tampering incidents than other industries. Consumers feel the impact too: individuals worldwide lost an estimated $1 trillion to scams in 2024 across all payment methods.
Fraud doesn’t just erode trust it hits the bottom line. A recent survey found that 13% of financial-services decision-makers reported losses of up to 20% of annual revenue due to fraud. Most customers say they will abandon institutions that fail to deliver strong online security, while regulations such as GDPR, DORA, and the Bank Secrecy Act increase compliance pressure. Operationally, fraud investigators are swamped, draining resources and slowing innovation. It’s no surprise that 75.5% of fraud professionals say online fraud is hurting revenue, and 72% report year-over-year increases in attacks. To fight back, 83% have adopted identity-verification and biometric technologies, and 81% plan to deepen that investment.
Most legacy fraud-detection tools rely on static rules that catch yesterday’s scams. Meanwhile, today’s fraudsters exploit artificial intelligence, deepfakes, and synthetic identities to evolve their tactics in real time. They leap across cards, ACH transfers, wires, RTP, and FedNow rails; spoof devices; and mimic customer behaviour. These shape-shifting attacks slip past outdated systems, forcing institutions to choose between blocking legitimate transactions or letting fraud through.
At the same time, AI adoption brings its own challenges. In a recent survey of financial professionals, 87% cited data management as their top barrier to effective AI use. While 64% said they had implemented AI within the past two years, 61% pointed to privacy and security concerns, and nearly 59% said data quality remains the biggest obstacle. It’s clear that building AI-powered defences requires not only advanced models but also trusted infrastructure and governance.
Forward-looking financial institutions are shifting to real-time fraud orchestration an AI-driven approach that adapts dynamically instead of relying on static rules. This system continuously analyses multiple signals, including:
Within milliseconds, the AI engine detects risk patterns and selects the right intervention step-up authentication, a 3D-Secure challenge, a temporary hold, or a proactive customer message without compromising approval rates.
When fraud does occur, the system automates chargeback and claims workflows, speeding resolution for both institutions and customers. Unlike legacy systems, this modern engine learns continuously, adapts to new threats, and aligns with regulatory requirements.
Compliance also becomes easier when security decisions are automated, documented, and auditable.
Teams often begin in a “shadow mode” to validate decisions before full rollout.
Building a full fraud-orchestration platform requires high-performance infrastructure combined with deep technical expertise. Cisco provides the foundation with AI-optimized compute, high-bandwidth networking, and zero-trust security. Their campus and branch networking innovations support ultra-low-latency connectivity and intelligent traffic management. The AgenticOps stack enables unified dashboards, domain-specific deep learning, and simplified operations. High-performance hardware, such as the 8200 and 8400 secure routers, offers built-in firewalls and Wi-Fi 7 support, while secure access solutions extend zero-trust across hybrid environments.
Specialist partners like Axelliant transform this infrastructure into complete real-time AI fraud-prevention solutions . By leveraging Cisco’s compute and networking, Axelliant builds end-to-end architectures that ingest data across payment rails, devices, and merchants; engineer real-time pipelines; deploy optimized machine-learning models; and orchestrate risk scoring, authentication, and chargeback workflows. With strong governance and explainability, Axelliant ensures that institutions can deploy modern fraud defence quickly and safely—without slowing customer experience.
Instant payments have become an expectation. As adoption accelerates, fraudsters are moving just as quickly. Legacy tools can’t keep up. Intelligent orchestration offers a path to reduce losses, protect approvals, and strengthen trust while maintaining compliance.
For banks, issuers, payment service providers, and digital-native fintechs, now is the time to rethink fraud strategy and invest in AI-powered defences. The sooner organizations embrace this shift, the sooner they can stop reacting to yesterday’s fraud—and start orchestrating a safer, smarter future.